Senior Data Analyst

Job Profile Summary
 

The Senior Data Analyst is responsible for the development, implementation, and maintenance of leading-edge analytics systems, solving complicated problems and building frameworks. Leads team initiatives while simultaneously participating in multiple IT project efforts with limited oversight from leadership. Contributions are felt across a breadth of development efforts. Has a working knowledge of advanced concepts, practices, and procedures. Demonstrates a keen understanding of both IT and the business we support. Serves as a subject matter expert for the application, technologies and integrations, or business processes.

Primary Job Responsibilities

• Act as a liaison between business stakeholders and technical teams to translate analytical needs into scalable data solutions using Power BI and Microsoft Fabric.
• Lead the design and implementation of analytics solutions that align with workspace capacity constraints and platform architecture.
• Evaluate and optimize Power BI workspace usage, ensuring performance and governance standards are met.
• Conduct stakeholder interviews and workshops to gather detailed business requirements and translate them into actionable technical specifications.
• Utilize SQL and optionally Python to prototype and validate data transformations and analytical models.
• Manage and prioritize the backlog for data engineers, ensuring that tasks are clearly defined and aligned with business objectives.
• Ensure data quality and integrity by performing regular data validation and cleaning tasks.
• Lead the development of data models, reports, and dashboards to support business objectives.
• Drive the adoption of self-service data tools and promote a data-driven culture within the organization.
• Conduct more complex ad-hoc analyses and provide strategic insights to senior stakeholders.
• Assist in the design and implementation of data governance and data management best practices.
• Provide On-Call third level support for priority issues, including after-hours, weekends, and holidays. Troubleshoot production issues and ensure timely resolution or escalation.  Serve as escalation point.
• Maintain documentation for data processes, models, and tools to ensure clarity and consistency.
• Champion a culture of curiosity and continuous improvement by proactively identifying opportunities to enhance data products and processes.
• Mentor and support junior data analysts in their professional development.
• Stay up to date with advancements in Microsoft Fabric and related technologies to guide platform evolution and adoption.
• Perform other duties as assigned.

Career Level (P3)

Organizational Impact:

• Works to achieve day-to-day objectives with significant impact on operational results within area of work.
• Works independently under limited supervision.
• May be responsible for entire projects or processes within area.
• Typically, responsible for coaching and reviewing the work of lower-level professionals.

Leadership & Talent Management: 

• May be responsible for providing guidance, coaching and training to other employees within functional area.
• May manage projects at this level, requiring responsibility for the delegation of work and the review of others' work product.

Knowledge & Experience: 

• Requires broad knowledge of area typically obtained through advanced education combined with experience. May have practical knowledge of program or project management.
• Typically requires a university degree or equivalent experience and minimum 3-6 years of prior relevant experience.

Required Skills

• Advanced proficiency in data visualization, Excel, and SQL.
• Experience with complex data models, reports, and dashboards.
• Ability to conduct complex ad-hoc analyses and provide strategic insights.
• Strong understanding of data quality and data validation processes.

Preferred Skills

• Strong scripting skills in languages such as Python or R.
• Knowledge of data governance and data management best practices.
• Knowledge of Azure environment and services, particularly as they relate to data analytics and platform integration.

Required Licensing, Registration and/or Certifications

• Not applicable
   

Physical Requirements:

• May require travel

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